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Vikas Yadav
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A survey on recent advances in named entity recognition from deep learning models
V Yadav, S Bethard
Proceedings of the 27th International Conference on Computational …, 2018
8922018
Alpagasus: Training a better alpaca with fewer data
L Chen, S Li, J Yan, H Wang, K Gunaratna, V Yadav, Z Tang, V Srinivasan, ...
arXiv preprint arXiv:2307.08701, 2023
1262023
Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering
V Yadav, S Bethard, M Surdeanu
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
762019
Deep affix features improve neural named entity recognizers
V Yadav, R Sharp, S Bethard
Proceedings of the seventh joint conference on lexical and computational …, 2018
692018
Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering
V Yadav, S Bethard, M Surdeanu
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
642020
Virtual Prompt Injection for Instruction-Tuned Large Language Models
J Yan, V Yadav, S Li, L Chen, Z Tang, H Wang, V Srinivasan, X Ren, H Jin
arXiv preprint arXiv:2307.16888, 2023
46*2023
Alignment over heterogeneous embeddings for question answering
V Yadav, S Bethard, M Surdeanu
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
362019
Multi-class hierarchical question classification for multiple choice science exams
D Xu, P Jansen, J Martin, Z Xie, V Yadav, HT Madabushi, O Tafjord, ...
arXiv preprint arXiv:1908.05441, 2019
332019
Eidos, INDRA, & Delphi: from free text to executable causal models
R Sharp, A Pyarelal, B Gyori, K Alcock, E Laparra, ...
Proceedings of the 2019 conference of the north American chapter of the …, 2019
282019
Text extraction in document images: highlight on using corner points
V Yadav, N Ragot
2016 12th IAPR Workshop on Document Analysis Systems (DAS), 281-286, 2016
262016
UArizona at the MADE1. 0 NLP Challenge
D Xu, V Yadav, S Bethard
International workshop on medication and adverse drug event detection, 57-65, 2018
252018
Towards robust neural retrieval with source domain synthetic pre-finetuning
RG Reddy, V Yadav, MA Sultan, M Franz, V Castelli, H Ji, A Sil
Proceedings of the 29th International Conference on Computational …, 2022
23*2022
Cheap and good? simple and effective data augmentation for low resource machine reading
H Van, V Yadav, M Surdeanu
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
172021
Sanity check: A strong alignment and information retrieval baseline for question answering
V Yadav, R Sharp, M Surdeanu
The 41st International ACM SIGIR Conference on Research & Development in …, 2018
172018
If you want to go far go together: unsupervised joint candidate evidence retrieval for multi-hop question answering
V Yadav, S Bethard, M Surdeanu
Proceedings of the 2021 conference of the North American chapter of the …, 2021
142021
University of arizona at semeval-2019 task 12: Deep-affix named entity recognition of geolocation entities
V Yadav, E Laparra, TT Wang, M Surdeanu, S Bethard
Proceedings of the 13th International Workshop on Semantic Evaluation, 1319-1323, 2019
102019
Using paralinguistic information to disambiguate user intentions for distinguishing phrase structure and sarcasm in spoken dialog systems
Z Zhou, IG Choi, Y He, V Yadav, CH Lee
2021 IEEE Spoken Language Technology Workshop (SLT), 1020-1027, 2021
52021
Curry-dpo: Enhancing alignment using curriculum learning & ranked preferences
P Pattnaik, R Maheshwary, K Ogueji, V Yadav, ST Madhusudhan
arXiv preprint arXiv:2403.07230, 2024
42024
Fuzzy based image forensic tool for detection and classification of image cloning
MF Hashmi, AG Keskar, V Yadav
International Journal of Computational Intelligence Systems 9 (2), 351-375, 2016
42016
Having your cake and eating it too: Training neural retrieval for language inference without losing lexical match
V Yadav, S Bethard, M Surdeanu
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
22020
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